TABLE 6.

Comparative performance of CNN architectures for validation sets.

CNN method name	Accuracy	Loss	Precision	Recall	F1‐score	AUC
MobileNetV2	0.52	1.86	0.21	0.24	0.21	0.81
NASNetMobile	0.52	1.75	0.41	0.25	0.24	0.76
DenseNet201	0.55	1.22	0.30	0.29	0.28	0.87
InceptionResNetV2	0.55	2.3	0.24	0.26	0.23	0.78
ResNet152V2	0.55	1.76	0.31	0.34	0.32	0.82
NASNetLarge	0.55	1.99	0.36	0.38	0.36	0.83
VGG19	0.58	1.18	0.38	0.40	0.37	0.79
InceptionV3	0.71	0.89	0.48	0.45	0.43	0.91
Xception	0.81	0.86	0.74	0.65	0.66	0.93
Proposed model	0.90	0.66	0.88	0.88	0.85	0.95

Abbreviation: AUC, area under curve.